Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "111"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 111 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 37 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 35 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 111, Node N10:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459852 digital_ok 100.00% 0.00% 32.43% 0.00% 100.00% 0.00% -0.139876 12.271393 -0.564861 26.474660 0.101989 15.904759 -0.593956 10.687938 0.8384 0.5420 0.3587 4.884882 1.546229
2459851 digital_ok 100.00% 0.00% 80.56% 0.00% 100.00% 0.00% -0.753913 19.052239 0.139277 28.699453 0.704014 40.177232 0.803719 20.155337 0.7626 0.3290 0.4414 4.121182 1.385463
2459850 digital_ok 100.00% 0.00% 74.18% 0.00% 100.00% 0.00% -0.112211 16.870799 0.245157 23.903397 0.034363 18.379842 0.021238 17.808017 0.7494 0.3711 0.4335 3.586127 1.372174
2459849 digital_ok 100.00% 0.00% 74.97% 0.00% 100.00% 0.00% -0.150918 15.339011 1.560169 47.223101 -0.134665 11.847083 0.812382 8.760814 0.7462 0.3577 0.4452 4.489471 1.441001
2459848 digital_ok 100.00% 0.00% 78.93% 0.00% 100.00% 0.00% -0.125075 14.340236 -0.678622 30.986409 -0.671765 20.907435 2.082528 3.083096 0.7299 0.2871 0.4705 3.659136 1.307860
2459847 digital_ok 100.00% 0.00% 98.82% 0.00% 100.00% 0.00% -0.155665 16.605345 -0.992161 29.225046 -0.593710 27.451057 0.676282 1.028596 0.7306 0.1577 0.5403 4.061091 1.306553
2459845 digital_ok 100.00% 0.00% 79.60% 0.00% 100.00% 0.00% -0.055685 18.338506 0.058032 40.012042 -0.169935 15.824160 6.181769 1.217300 0.7565 0.2844 0.5020 5.503702 1.485396
2459844 digital_ok 100.00% 100.00% 100.00% 0.00% - - -0.366030 15.715672 -0.887261 5.853281 -0.527467 2.390699 -0.022862 7.372948 0.0245 0.0234 0.0006 nan nan
2459843 digital_ok 100.00% 0.66% 98.36% 0.00% 100.00% 0.00% 0.103957 18.493032 -0.470075 20.088157 -0.336084 70.933122 -0.016750 0.386530 0.7532 0.1020 0.5314 4.875477 1.493235
2459842 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% -0.473143 12.816454 0.431298 9.824579 -0.053609 -0.701346 0.303392 0.352116 0.7619 0.0696 0.4873 4.138126 1.236626
2459841 digital_ok 100.00% 100.00% 100.00% 0.00% - - -1.002495 16.453504 -0.338521 4.039492 0.547496 3.458680 1.170336 2.137532 0.0247 0.0233 0.0008 nan nan
2459840 digital_ok 0.00% 100.00% 100.00% 0.00% - - 1.369561 1.660710 -0.297959 -1.209964 -0.411194 -0.565542 -0.495591 -0.713127 0.0233 0.0231 0.0006 nan nan
2459839 digital_ok 100.00% - - - - - -0.677342 -0.249484 -0.735949 -0.331216 2.148541 8.893355 0.101789 0.170288 nan nan nan nan nan
2459838 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459836 digital_ok - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0347 0.0418 0.0012 nan nan
2459835 digital_ok 100.00% 100.00% 100.00% 0.00% - - -1.050369 -0.371517 -0.669281 -0.827905 -0.873132 12.927967 -0.412683 4.328343 0.0339 0.0366 0.0010 nan nan
2459833 digital_ok 100.00% 100.00% 100.00% 0.00% - - 0.268016 -0.153792 0.688059 -0.142716 1.400233 5.952884 0.287833 0.302519 0.0283 0.0290 0.0004 nan nan
2459832 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.124125 0.482918 -1.041207 0.335717 0.027911 1.371464 -0.125581 3.264897 0.7488 0.4515 0.5612 1.830858 1.553628
2459831 digital_ok 0.00% 100.00% 100.00% 0.00% - - -0.448644 0.155739 -0.843826 -0.141238 -0.293946 -0.204383 -0.479896 -0.700227 0.0285 0.0274 0.0004 nan nan
2459830 digital_ok 0.00% 0.00% 13.44% 0.00% 13.16% 0.00% 0.156479 1.781140 -0.872852 0.823968 0.316402 3.545968 -0.350786 3.822908 0.7455 0.4458 0.5479 1.918680 1.635855
2459829 digital_ok 0.00% 0.00% 0.54% 0.00% 0.65% 0.00% 0.428095 3.062358 -0.027876 0.955194 0.234586 0.779604 -0.189923 3.567716 0.6711 0.5773 0.4139 1.106396 0.970673
2459828 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.761229 2.357461 0.153408 0.642646 -0.212418 1.553428 1.307278 11.997166 0.7393 0.4600 0.5263 5.679504 6.664986
2459827 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 0.422119 1.544226 -0.141853 1.736546 0.168861 0.713130 7.464070 5.351041 0.6815 0.5895 0.4100 8.847605 9.864512
2459826 digital_ok 100.00% 16.13% 16.13% 0.00% 100.00% 0.00% -0.014833 1.910442 -0.526428 1.399427 0.159220 3.232217 0.016379 4.783827 0.6619 0.4337 0.4514 10.240988 16.020616
2459825 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.048412 0.878625 -0.379119 0.392224 -0.203552 1.721034 2.747174 0.028627 0.0629 0.0630 0.0071 0.000000 0.000000
2459824 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.073568 0.876835 -0.434680 0.672624 -0.571894 1.460933 0.106372 0.369555 0.0557 0.0639 0.0036 0.000000 0.000000
2459823 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.308320 1.582711 -0.343413 0.599805 0.885647 1.684812 -0.023896 -0.205977 0.0572 0.0613 0.0062 0.000000 0.000000
2459822 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.227441 1.166884 -0.264870 0.994414 -0.026350 1.664755 0.685792 4.218245 0.0641 0.0582 0.0055 0.000000 0.000000
2459821 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.125381 0.330890 0.088874 1.216347 -0.150512 2.020574 1.021191 0.016256 0.0595 0.0588 0.0060 0.940668 0.947840
2459820 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.040558 1.282911 0.023062 1.384856 0.426141 1.668825 1.101886 5.767296 0.0544 0.0591 0.0043 0.000000 0.000000
2459817 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.481634 1.070651 0.201838 0.783651 0.132046 0.946651 0.773141 3.142306 0.0593 0.0670 0.0060 14.422590 15.683361
2459816 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.155845 0.986779 -0.692725 0.672692 -0.506060 1.027780 -0.525120 0.646471 0.0606 0.0577 0.0057 1.235084 1.224540
2459815 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% -0.040584 0.747905 -0.394170 0.652280 0.389494 2.023717 -0.264026 1.954130 0.0633 0.0743 0.0055 1.196668 1.200077
2459814 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 digital_ok 0.00% 100.00% 100.00% 0.00% 100.00% 0.00% 0.025457 2.091581 -0.174398 1.064251 0.176056 2.097748 -0.233382 1.677495 0.0664 0.0752 0.0072 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 111: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Power 26.474660 -0.139876 12.271393 -0.564861 26.474660 0.101989 15.904759 -0.593956 10.687938

Antenna 111: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 40.177232 -0.753913 19.052239 0.139277 28.699453 0.704014 40.177232 0.803719 20.155337

Antenna 111: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Power 23.903397 -0.112211 16.870799 0.245157 23.903397 0.034363 18.379842 0.021238 17.808017

Antenna 111: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Power 47.223101 -0.150918 15.339011 1.560169 47.223101 -0.134665 11.847083 0.812382 8.760814

Antenna 111: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Power 30.986409 14.340236 -0.125075 30.986409 -0.678622 20.907435 -0.671765 3.083096 2.082528

Antenna 111: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Power 29.225046 16.605345 -0.155665 29.225046 -0.992161 27.451057 -0.593710 1.028596 0.676282

Antenna 111: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Power 40.012042 18.338506 -0.055685 40.012042 0.058032 15.824160 -0.169935 1.217300 6.181769

Antenna 111: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape 15.715672 -0.366030 15.715672 -0.887261 5.853281 -0.527467 2.390699 -0.022862 7.372948

Antenna 111: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 70.933122 18.493032 0.103957 20.088157 -0.470075 70.933122 -0.336084 0.386530 -0.016750

Antenna 111: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape 12.816454 -0.473143 12.816454 0.431298 9.824579 -0.053609 -0.701346 0.303392 0.352116

Antenna 111: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape 16.453504 -1.002495 16.453504 -0.338521 4.039492 0.547496 3.458680 1.170336 2.137532

Antenna 111: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape 1.660710 1.369561 1.660710 -0.297959 -1.209964 -0.411194 -0.565542 -0.495591 -0.713127

Antenna 111: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 8.893355 -0.249484 -0.677342 -0.331216 -0.735949 8.893355 2.148541 0.170288 0.101789

Antenna 111: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 111: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 12.927967 -0.371517 -1.050369 -0.827905 -0.669281 12.927967 -0.873132 4.328343 -0.412683

Antenna 111: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 5.952884 -0.153792 0.268016 -0.142716 0.688059 5.952884 1.400233 0.302519 0.287833

Antenna 111: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 3.264897 0.124125 0.482918 -1.041207 0.335717 0.027911 1.371464 -0.125581 3.264897

Antenna 111: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape 0.155739 -0.448644 0.155739 -0.843826 -0.141238 -0.293946 -0.204383 -0.479896 -0.700227

Antenna 111: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 3.822908 0.156479 1.781140 -0.872852 0.823968 0.316402 3.545968 -0.350786 3.822908

Antenna 111: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 3.567716 3.062358 0.428095 0.955194 -0.027876 0.779604 0.234586 3.567716 -0.189923

Antenna 111: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 11.997166 2.357461 0.761229 0.642646 0.153408 1.553428 -0.212418 11.997166 1.307278

Antenna 111: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Temporal Discontinuties 7.464070 0.422119 1.544226 -0.141853 1.736546 0.168861 0.713130 7.464070 5.351041

Antenna 111: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 4.783827 1.910442 -0.014833 1.399427 -0.526428 3.232217 0.159220 4.783827 0.016379

Antenna 111: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok ee Temporal Discontinuties 2.747174 0.878625 -0.048412 0.392224 -0.379119 1.721034 -0.203552 0.028627 2.747174

Antenna 111: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 1.460933 -0.073568 0.876835 -0.434680 0.672624 -0.571894 1.460933 0.106372 0.369555

Antenna 111: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 1.684812 1.582711 -0.308320 0.599805 -0.343413 1.684812 0.885647 -0.205977 -0.023896

Antenna 111: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 4.218245 0.227441 1.166884 -0.264870 0.994414 -0.026350 1.664755 0.685792 4.218245

Antenna 111: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 2.020574 0.330890 0.125381 1.216347 0.088874 2.020574 -0.150512 0.016256 1.021191

Antenna 111: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 5.767296 -0.040558 1.282911 0.023062 1.384856 0.426141 1.668825 1.101886 5.767296

Antenna 111: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Discontinuties 3.142306 0.481634 1.070651 0.201838 0.783651 0.132046 0.946651 0.773141 3.142306

Antenna 111: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 1.027780 0.986779 0.155845 0.672692 -0.692725 1.027780 -0.506060 0.646471 -0.525120

Antenna 111: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 2.023717 0.747905 -0.040584 0.652280 -0.394170 2.023717 0.389494 1.954130 -0.264026

Antenna 111: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 111: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
111 N10 digital_ok nn Temporal Variability 2.097748 2.091581 0.025457 1.064251 -0.174398 2.097748 0.176056 1.677495 -0.233382
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